https://cran.r-project.org/web/packages/ordinal/ordinal.pdf

https://rdrr.io/rforge/MPDiR/man/polmer.html

See also:

https://stats.idre.ucla.edu/r/dae/multinomial-logistic-regression/

https://www.r-bloggers.com/2020/05/multinomial-logistic-regression-with-r/

https://bookdown.org/chua/ber642_advanced_regression/multinomial-logistic-regression.html

See these links:

https://stats.stackexchange.com/questions/287522/how-to-do-glmm-if-the-dependent-variable-is-categorical-in-r

https://www.researchgate.net/post/How_to_perform_mixed_random_parameters_ordinal_logistic_regression_in_R_which_package_suites_best_for_all_categorical_dependent_variable

https://community.rstudio.com/t/glm-with-categorical-dependent-variable-and-ordinal-independent-variable/91026/2

https://bookdown.org/mpfoley1973/statistics/generalized-linear-models-glm.html

"GLMM FAQ" https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html

You can use "ordinal" package using clmm or clmm2 function.